A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
International Center for Scientific Research and Studies
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89617/ |
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| Summary: | Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. The algorithm is validated via training and testing dataset with the ratio 70:30. Based on experiment, the result shows that the K Nearest Neighbor algorithm performs well compared to the others with the accuracy for training is 80.45% and testing 97.78%. |
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